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- Tasks: Lead teams to deliver robust data services and develop capabilities for analysing large data sets.
- Company: Join the Central FinOps Team at the Home Office, driving data innovation.
- Benefits: Full-time role with flexible working options and opportunities for professional growth.
- Why this job: Make a real impact on public cloud spending and optimise financial reporting.
- Qualifications: Strong expertise in data engineering, SQL, Python, and cloud platforms like AWS and Azure.
- Other info: Collaborative environment focused on continuous improvement and empowering team members.
The predicted salary is between 55000 - 65000 £ per year.
Principal Data Engineers lead multi-functional delivery teams to deliver robust data services for their department, other government departments and private sector partners. Through technical direction and leadership, you will create and nurture an environment that emphasises motivation, empowerment, teamwork, continuous improvement and a passion for providing service. You will work with other members of the data community to set the enterprise data strategy and standards and agree implementation and governance.
Responsibilities
- Providing technical direction and leadership within the Data Platform team to maximise its effectiveness and inspire best practice for data products and services.
- Developing capabilities in tools and techniques to analyse large/big data-sets and from multiple/complex sources that will enable broader Data Science models and algorithms to uncover insights, trends, and patterns in the data.
- Leading in defining our data strategy and roadmap influenced by future technology changes and implemented through best practice and governance.
- Managing stakeholders at all levels, including facilitating discussions around complex topics and managing performance expectations.
- Initiating and facilitating partnership with other technical and non-technical departments and outside of government to champion data engineering and help them understand how data solutions can benefit them while ensuring easy and effective access to data resources.
- Building the data engineering capability through coaching and mentoring other Data Engineers.
- Effectively leading and managing multiple teams, helping them deliver technical products and projects in data analysis, solution design and end user reporting.
- Promoting and monitoring continuous professional and personal development within an organisation and team.
- Interpreting requirements and presenting complex ideas and recommendations that inform wider decisions in a clear way, to technical and non-technical audiences and senior customers.
- Strong expertise in data engineering and analytical tooling used to process and analyse large-scale cloud cost and usage data, including SQL (Presto/Trino via Athena), PostgreSQL, and Python.
- An excellent in-depth understanding of cloud data platforms and billing data models, particularly across AWS and Azure, including how usage, pricing, amortisation and allocation are represented.
- Proven ability to advise on and set best practice for data engineering, automation and reliability, including version controlled development (Git/GitLab or equivalent SVE) and automated, repeatable pipelines.
- Working Pattern: Due to the business requirements of this role, it is only available on a full-time basis. Some roles may be suitable for a combination of office and home-based working. Where this is the case, employees will be expected to spend a minimum of 60% of their working time in the office.
In the Central FinOps Team, you will lead delivery of data products that enable the Home Office to understand, govern and optimise public cloud spend across AWS and Azure, supporting showback/chargeback and cost optimisation outcomes. You will own the end to end approach for ingesting, normalising and enriching cloud billing and usage data, with a strong focus on CUR (including CUR2) and FOCUS datasets as foundational sources for departmental reporting. You will ensure the organisation can confidently interpret cloud billing behaviour, including the application of commitment based discounts and commercial mechanisms, and translate this into trusted, reusable data assets. You will work closely with finance and engineering stakeholders to ensure outputs meet operational needs (including exportable, finance ready reporting) and improve the quality of the standing data that underpins allocation and recharge. A key part of the role is enabling consistent access to insight through dashboards and datasets, including those built in AWS QuickSight using AWS and Azure billing data enriched with organisational context (e.g. cost centres and portfolios). You will also help set minimum standards and requirements for FinOps capability across the hub and spoke model.
Data Engineer, Networks and Infrastructure - Home Office employer: Government Digital & Data
Contact Detail:
Government Digital & Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Networks and Infrastructure - Home Office
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, and conferences to connect with fellow data enthusiasts. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving cloud platforms like AWS and Azure. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with SQL, Python, and data engineering best practices. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer, Networks and Infrastructure - Home Office
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data engineering and cloud platforms. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: Since this role requires strong expertise in SQL, Python, and cloud data platforms, be sure to include specific examples of how you've used these tools in your previous work. We love seeing hands-on experience that demonstrates your capabilities!
Communicate Clearly: When writing your application, aim for clarity and conciseness. We appreciate candidates who can present complex ideas in a straightforward way, especially since you'll be working with both technical and non-technical stakeholders.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Government Digital & Data
✨Know Your Data Tools
Make sure you brush up on your knowledge of SQL, PostgreSQL, and Python, as well as AWS Cost and Usage Reports. Be ready to discuss how you've used these tools in past projects, especially in relation to big data analysis and cloud cost optimisation.
✨Showcase Leadership Skills
Prepare examples that highlight your experience in leading teams and managing stakeholders. Think about times when you’ve inspired best practices or facilitated discussions around complex topics. This will demonstrate your ability to provide technical direction and foster teamwork.
✨Understand the Bigger Picture
Familiarise yourself with the organisation's data strategy and how it aligns with future technology changes. Be prepared to discuss how you can contribute to defining and implementing this strategy, particularly in relation to data governance and best practices.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to present ideas to both technical and non-technical audiences, so think about how you can make your insights accessible and actionable for everyone involved.